Best Video Converter

v1.0.0

Get converted MP4 files ready to post, without touching a single slider. Upload your video files (AVI, MOV, MKV, WebM, up to 500MB), say something like "conv...

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for linmillsd7/best-video-converter.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Best Video Converter" (linmillsd7/best-video-converter) from ClawHub.
Skill page: https://clawhub.ai/linmillsd7/best-video-converter
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Required env vars: NEMO_TOKEN
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install best-video-converter

ClawHub CLI

Package manager switcher

npx clawhub@latest install best-video-converter
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Purpose & Capability
The skill is a cloud-based video converter and the SKILL.md directs the agent to a nemovideo.ai API, requests a service token (NEMO_TOKEN), session management, upload and render endpoints — all consistent with the described purpose.
Instruction Scope
Runtime instructions stay focused on authentication, session creation, file upload, SSE handling and render polling. Minor inconsistencies: metadata lists a config path (~/.config/nemovideo/) and asks to auto-detect an install path for X-Skill-Platform, but the document does not clearly explain what (if anything) should be read from that config path. The skill also instructs generating an anonymous token via the service if NEMO_TOKEN is not set, which is expected for this workflow.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest-risk install surface. Nothing is downloaded or written by an install step.
Credentials
Only one env var is required (NEMO_TOKEN), which matches the service authentication need. The declared configPaths entry is not justified in the instructions; confirm whether the skill will read user config under ~/.config/nemovideo/ before installing.
Persistence & Privilege
The skill is not set to always:true and does not request system-wide changes. It uses per-session tokens and session IDs; nothing indicates it will modify other skills or agent-wide settings.
Assessment
This skill appears coherent for a cloud-based video-conversion service. Before installing: (1) confirm you trust the external domain (mega-api-prod.nemovideo.ai) and understand their privacy policy — you will be uploading videos; (2) only provide a NEMO_TOKEN issued by that service (do not point it at unrelated secrets); (3) ask the publisher whether the skill will read ~/.config/nemovideo/ or other local files (metadata lists that path but the instructions don't explain why); (4) avoid uploading sensitive or private videos until you verify storage/retention practices and whether the service keeps copies; (5) prefer creating an account with the service rather than using long-lived tokens you reuse elsewhere. If you want higher assurance, request a publisher/homepage or source code for review before enabling the skill.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

🔄 Clawdis
EnvNEMO_TOKEN
Primary envNEMO_TOKEN
latestvk97egtjmjm7zevngqqh63m5rnn84m5qb
93downloads
0stars
1versions
Updated 2w ago
v1.0.0
MIT-0

Getting Started

Share your video files and I'll get started on AI format conversion. Or just tell me what you're thinking.

Try saying:

  • "convert my video files"
  • "export 1080p MP4"
  • "convert this AVI to MP4 at"

Automatic Setup

On first interaction, connect to the processing API before doing anything else. Show a brief status like "Setting things up...".

Token: If NEMO_TOKEN environment variable is already set, use it and skip to Session below.

Free token: Generate a UUID as client identifier, then POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id: <uuid>. The response field data.token becomes your NEMO_TOKEN (100 credits, 7-day expiry).

Session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Save session_id from the response.

Confirm to the user you're connected and ready. Don't print tokens or raw JSON.

Best Video Converter — Convert Any Video to MP4

Drop your video files in the chat and tell me what you need. I'll handle the AI format conversion on cloud GPUs — you don't need anything installed locally.

Here's a typical use: you send a a 3-minute AVI file from an old camcorder, ask for convert this AVI to MP4 at 1080p, and about 20-40 seconds later you've got a MP4 file ready to download. The whole thing runs at 1080p by default.

One thing worth knowing — shorter clips convert faster — split long videos before uploading if you are in a hurry.

Matching Input to Actions

User prompts referencing best video converter, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.

User says...ActionSkip SSE?
"export" / "导出" / "download" / "send me the video"→ §3.5 Export
"credits" / "积分" / "balance" / "余额"→ §3.3 Credits
"status" / "状态" / "show tracks"→ §3.4 State
"upload" / "上传" / user sends file→ §3.2 Upload
Everything else (generate, edit, add BGM…)→ §3.1 SSE

Cloud Render Pipeline Details

Each export job queues on a cloud GPU node that composites video layers, applies platform-spec compression (H.264, up to 1080x1920), and returns a download URL within 30-90 seconds. The session token carries render job IDs, so closing the tab before completion orphans the job.

Base URL: https://mega-api-prod.nemovideo.ai

EndpointMethodPurpose
/api/tasks/me/with-session/nemo_agentPOSTStart a new editing session. Body: {"task_name":"project","language":"<lang>"}. Returns session_id.
/run_ssePOSTSend a user message. Body includes app_name, session_id, new_message. Stream response with Accept: text/event-stream. Timeout: 15 min.
/api/upload-video/nemo_agent/me/<sid>POSTUpload a file (multipart) or URL.
/api/credits/balance/simpleGETCheck remaining credits (available, frozen, total).
/api/state/nemo_agent/me/<sid>/latestGETFetch current timeline state (draft, video_infos, generated_media).
/api/render/proxy/lambdaPOSTStart export. Body: {"id":"render_<ts>","sessionId":"<sid>","draft":<json>,"output":{"format":"mp4","quality":"high"}}. Poll status every 30s.

Accepted file types: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

Three attribution headers are required on every request and must match this file's frontmatter:

HeaderValue
X-Skill-Sourcebest-video-converter
X-Skill-Versionfrontmatter version
X-Skill-Platformauto-detect: clawhub / cursor / unknown from install path

All requests must include: Authorization: Bearer <NEMO_TOKEN>, X-Skill-Source, X-Skill-Version, X-Skill-Platform. Missing attribution headers will cause export to fail with 402.

Error Handling

CodeMeaningAction
0SuccessContinue
1001Bad/expired tokenRe-auth via anonymous-token (tokens expire after 7 days)
1002Session not foundNew session §3.0
2001No creditsAnonymous: show registration URL with ?bind=<id> (get <id> from create-session or state response when needed). Registered: "Top up credits in your account"
4001Unsupported fileShow supported formats
4002File too largeSuggest compress/trim
400Missing X-Client-IdGenerate Client-Id and retry (see §1)
402Free plan export blockedSubscription tier issue, NOT credits. "Register or upgrade your plan to unlock export."
429Rate limit (1 token/client/7 days)Retry in 30s once

SSE Event Handling

EventAction
Text responseApply GUI translation (§4), present to user
Tool call/resultProcess internally, don't forward
heartbeat / empty data:Keep waiting. Every 2 min: "⏳ Still working..."
Stream closesProcess final response

~30% of editing operations return no text in the SSE stream. When this happens: poll session state to verify the edit was applied, then summarize changes to the user.

Translating GUI Instructions

The backend responds as if there's a visual interface. Map its instructions to API calls:

  • "click" or "点击" → execute the action via the relevant endpoint
  • "open" or "打开" → query session state to get the data
  • "drag/drop" or "拖拽" → send the edit command through SSE
  • "preview in timeline" → show a text summary of current tracks
  • "Export" or "导出" → run the export workflow

Draft field mapping: t=tracks, tt=track type (0=video, 1=audio, 7=text), sg=segments, d=duration(ms), m=metadata.

Timeline (3 tracks): 1. Video: city timelapse (0-10s) 2. BGM: Lo-fi (0-10s, 35%) 3. Title: "Urban Dreams" (0-3s)

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "convert this AVI to MP4 at 1080p" — concrete instructions get better results.

Max file size is 500MB. Stick to AVI, MOV, MKV, WebM for the smoothest experience.

Export as MP4 for widest compatibility across devices and platforms.

Common Workflows

Quick edit: Upload → "convert this AVI to MP4 at 1080p" → Download MP4. Takes 20-40 seconds for a 30-second clip.

Batch style: Upload multiple files in one session. Process them one by one with different instructions. Each gets its own render.

Iterative: Start with a rough cut, preview the result, then refine. The session keeps your timeline state so you can keep tweaking.

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